Q21. Which of the following is a commonly used activation function in artificial neural networks?
a) Linear Activation Function
b) Sigmoid Activation Function
c) Step Activation Function
d) Exponential Activation Function
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Correct Answer: b) Sigmoid Activation Function
Explanation: The Sigmoid Activation Function is commonly used in artificial neural networks to introduce non-linearity and squash the output of each neuron to a range between 0 and 1, making it suitable for binary classification tasks.
Q22. Which AI technique involves mimicking the behavior of ants to solve optimization problems?
a) Genetic Algorithms
b) Ant Colony Optimization
c) Simulated Annealing
d) Particle Swarm Optimization
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Correct Answer: b) Ant Colony Optimization
Explanation: Ant Colony Optimization is an AI technique inspired by the foraging behavior of ants, where artificial agents (ants) iteratively build solutions to optimization problems by depositing pheromone trails and following paths with higher pheromone concentrations.
Q23. What is the term for the process of training a machine learning model on a small subset of data before gradually increasing the size of the training set?
a) Batch Learning
b) Online Learning
c) Incremental Learning
d) Transfer Learning
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Correct Answer: c) Incremental Learning
Explanation: Incremental Learning is the process of training a machine learning model on a small initial subset of data and gradually increasing the size of the training set over time, allowing the model to adapt to new examples without retraining from scratch.
Q24. Which AI application involves the use of algorithms to analyze and interpret human facial expressions from images or videos?
a) Speech Recognition
b) Sentiment Analysis
c) Facial Recognition
d) Natural Language Processing
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Correct Answer: c) Facial Recognition
Explanation: Facial Recognition utilizes artificial intelligence algorithms to analyze and interpret human facial features from images or videos, enabling tasks such as identity verification, surveillance, and emotion detection.
Q25. Which AI technique involves simulating the behavior of a large population of individuals to solve optimization problems?
a) Genetic Algorithms
b) Ant Colony Optimization
c) Swarm Intelligence
d) Simulated Annealing
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Correct Answer: c) Swarm Intelligence
Explanation: Swarm Intelligence is an AI technique that involves simulating the collective behavior of decentralized systems, such as flocks of birds or colonies of ants, to solve optimization and decision-making problems.
Q26. Which type of machine learning algorithm is trained using both labeled and unlabeled data?
a) Supervised Learning
b) Unsupervised Learning
c) Semi-supervised Learning
d) Reinforcement Learning
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Correct Answer: c) Semi-supervised Learning
Explanation: Semi-supervised Learning algorithms are trained using a combination of labeled and unlabeled data, leveraging the abundance of unlabeled data to improve model performance with limited labeled examples.
Q27. What is the term for the process of automatically generating insights, patterns, and knowledge from large volumes of data?
a) Data Mining
b) Data Analysis
c) Data Visualization
d) Data Preprocessing
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Correct Answer: a) Data Mining
Explanation: Data Mining is the process of automatically discovering meaningful patterns, insights, and knowledge from large volumes of data using techniques from statistics, machine learning, and database systems.
Q28. Which AI application involves the use of algorithms to generate human-like responses in natural language conversations?
a) Sentiment Analysis
b) Recommendation Systems
c) Natural Language Processing
d) Chatbots
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Correct Answer: d) Chatbots
Explanation: Chatbots, also known as conversational agents, use natural language processing and machine learning algorithms to generate human-like responses and engage in text-based conversations with users.
Q29. Which AI technique involves representing knowledge in the form of rules and using logical inference to derive conclusions?
a) Genetic Algorithms
b) Ant Colony Optimization
c) Expert Systems
d) Reinforcement Learning
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Correct Answer: c) Expert Systems
Explanation: Expert Systems represent knowledge using rules or expert knowledge bases and use logical inference engines to derive conclusions and make decisions in specific domains.
Q30. Which of the following is a disadvantage of using deep learning models?
a) High computational requirements
b) Limited scalability
c) Difficulty in training with small datasets
d) All of the above
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Correct Answer: d) All of the above
Explanation: Deep learning models often require high computational resources, may have limited scalability due to their complexity, and can be challenging to train with small datasets, presenting significant disadvantages in certain applications.